Neural IR for domain-specific tasks

Several specific features such as the volume of data, document size, structure of the documents, jargon, the way information needs are defined, among others, are features that justify that retrieval models should not handle all information equally when it comes to domain-specific retrieval tasks (e.g., in law and healthcare). Neural IR models can deal with such features, especially those related to contextual elements (e.g., expert knowledge). The ongoing project will consider domain-specific embeddings to contextualize within a neural ranking setup document retrieval in domain-specific tasks.